Takeru Miyato

10 papers and 2.4k indexed citations i.

About

Takeru Miyato is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Takeru Miyato has authored 10 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 1 paper in Computational Mechanics. Recurrent topics in Takeru Miyato’s work include Adversarial Robustness in Machine Learning (7 papers), Anomaly Detection Techniques and Applications (5 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). Takeru Miyato is often cited by papers focused on Adversarial Robustness in Machine Learning (7 papers), Anomaly Detection Techniques and Applications (5 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). Takeru Miyato collaborates with scholars based in Japan, United States and Iran. Takeru Miyato's co-authors include Masanori Koyama, Shin‐ichi Maeda, Shin Ishii, Yuichi Yoshida, Toshiki Kataoka, Ian Goodfellow, Andrew M. Dai, Ken Nakae, Ryôhei Suzuki and Amir Najafi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, arXiv (Cornell University) and Neural Information Processing Systems.

In The Last Decade

Co-authorship network of co-authors of Takeru Miyato i

Fields of papers citing papers by Takeru Miyato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Takeru Miyato. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Takeru Miyato. The network helps show where Takeru Miyato may publish in the future.

Countries citing papers authored by Takeru Miyato

Since Specialization
Citations

This map shows the geographic impact of Takeru Miyato's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Takeru Miyato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takeru Miyato more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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